Search results for "mining"

showing 10 items of 1730 documents

3D Matrix-Based Visualization System of Association Rules

2017

With the growing number of mining datasets, it becomes increasingly difficult to explore interesting rules because of the large number of resultant and its nature complexity. Studies on human perception and intuition show that graphical representation could be a better illustration of how to seek information from the data using the capabilities of human visual system. In this work, we present and implement a 3D matrix-based approach visualization system of association rules. The main visual representation applies the extended matrix-based approach with rule-to-items mapping to general transaction data set. A novel method merging rules and assigning weight is proposed in order to reduce the …

Association rule learningComputer sciencevisualisointi02 engineering and technologycomputer.software_genreMachine learningassociation rulesvisualisationInformation visualizationData visualization0202 electrical engineering electronic engineering information engineeringZoom3D matrixta113business.industry020207 software engineeringdata miningVisualizationHuman visual system modelScalability020201 artificial intelligence & image processingData miningArtificial intelligencetiedonlouhintabusinesscomputerTransaction data2017 IEEE International Conference on Computer and Information Technology (CIT)
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Discovering representative models in large time series databases

2004

The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical observations could allow to perform diagnosis and/or prognosis. Moreover, the efficient discovery of frequent patterns may play an important role in several data mining tasks such as association rule discovery, clustering and classification. However, in order to identify interesting repetitions, it is necessary to allow errors in the matching patterns; in this context, it is difficult to select one pattern particularly suited to represent the set of similar ones, whereas modelling this set with a single model could…

Association rule learningDiscretizationComputer scienceContext (language use)Correlation and dependencecomputer.software_genreSet (abstract data type)CardinalityKnowledge extractionMotif extraction Pattern discoveryPattern matchingData miningCluster analysisTime complexitycomputer
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Traitement de données RGB et Lidar à extrêmement haute résolution: retombées de la compétition de fusion de données 2015 de l'IEEE GRSS - Partie A / …

2016

International audience; In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the sci…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceMULTIMODAL-DATA FUSIONGeophysics. Cosmic physics0211 other engineering and technologies02 engineering and technologyCONTESTcomputer.software_genre01 natural sciencesOutcome (game theory)LIDARTraitement des imagesIMAGE ANALYSIS AND DATA FUSION (IADF)DEEP NEURAL NETWORKSDeep neural networksTraitement du signal et de l'imageMULTIRESOLUTION910 Geography & travelMultiresolutionGround truthLANDCOVER CLASSIFICATIONIMAGE AERIENNE1903 Computers in Earth SciencesBenchmarkingVision par ordinateur et reconnaissance de formesOcean engineering10122 Institute of GeographyLidarDeep neural networksData miningExtremely high spatial resolutionMultimodal-data fusionLiDARComputers in Earth Sciences; Atmospheric ScienceImage analysis and data fusion (IADF)EXTREMELY HIGH SPATIAL RESOLUTIONCLASSIFICATIONTRAITEMENT IMAGE1902 Atmospheric ScienceAPPRENTISSAGE STATISTIQUEComputers in Earth SciencesTELEDETECTIONSynthèse d'image et réalité virtuelleTC1501-1800021101 geological & geomatics engineering0105 earth and related environmental sciencesLandcover classificationmultiresolution-[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]QC801-809Intelligence artificielleMULTISOURCESensor fusionRGB color modelcomputerMultisource
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Spatial Forecast Verification Methods Intercomparison Project: Application of the SAL Technique

2009

Abstract In this study, a recently introduced feature-based quality measure called SAL, which provides information about the structure, amplitude, and location of a quantitative precipitation forecast (QPF) in a prespecified domain, is applied to different sets of synthetic and realistic QPFs in the United States. The focus is on a detailed discussion of selected cases and on the comparison of the verification results obtained with SAL and some classical gridpoint-based error measures. For simple geometric precipitation objects it is shown that SAL adequately captures errors in the size and location of the objects, however, not in their orientation. The artificially modified (so-called fake…

Atmospheric ScienceMeasure (data warehouse)MeteorologyComputer scienceOrientation (computer vision)computer.software_genreForecast verificationDomain (software engineering)Feature (computer vision)Quantitative precipitation forecastPrecipitationData miningFocus (optics)computerWeather and Forecasting
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Fully automatic face recognition system using a combined audio-visual approach

2005

This paper presents a novel audio and video information fusion approach that greatly improves automatic recognition of people in video sequences. To that end, audio and video information is first used independently to obtain confidence values that indicate the likelihood that a specific person appears in a video shot. Finally, a post-classifier is applied to fuse audio and visual confidence values. The system has been tested on several news sequences and the results indicate that a significant improvement in the recognition rate can be achieved when both modalities are used together.

Audio miningDynamic time warpingModalitiesComputer sciencebusiness.industryShot (filmmaking)Speech recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo sequenceFacial recognition systemVideo trackingSignal ProcessingFuse (electrical)Computer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessIEE Proceedings - Vision, Image, and Signal Processing
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Introduction to the superior olivary complex

2000

Auditory PathwaysHistologybusiness.industryComputer scienceGuinea PigsOlivary NucleusCochleaRatsMedical Laboratory TechnologyText miningPonsSuperior olivary complexAnimalsAnatomybusinessInstrumentationNeuroscienceMicroscopy Research and Technique
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Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time

2017

Empirical applications using individual spatial data pooled over time usually neglect the fact that such data are not only spatially localized: they are also collected over time, i.e. temporally localized. So far, little effort has been devoted to proposing a global way for dealing with spatial data (cross-section) pooled over time, such as real estate transactions, business start-up, crime and so on. However, the spatial effect, in such a context, can be decomposed in two different components: a multidirectional spatial effect (same time period) and a unidirectional spatial effect (previous time period). Based on real estate literature, this chapter presents different spatio-temporal autor…

Autoregressive modelComputer scienceAutoregressive coefficientsMonte Carlo methodSpatio-Temporal AnalysisEconometricsReal estateSpatial econometricsContext (language use)Data miningcomputer.software_genrecomputerSpatial analysis
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Mitochondrial DNA Portrait of Latvians: Towards the Understanding of the Genetic Structure of Baltic-Speaking Populations

2005

Summary Mitochondrial DNA (mtDNA) variation was investigated in a sample of 299 Latvians, a Baltic-speaking population from Eastern Europe. Sequencing of the first hypervariable segment (HVS-I) in combination with analysis of informative coding region markers revealed that the vast majority of observed mtDNAs belong to haplogroups (hgs) common to most European populations. Analysis of the spatial distribution of mtDNA haplotypes found in Latvians, as well as in Baltic-speaking populations in general, revealed that they share haplotypes with all neighbouring populations irrespective of their linguistic affiliation. Hence, the results of our mtDNA analysis show that the previously described s…

Baltic StatesMaleMitochondrial DNAGenetic LinkagePopulationPopulation geneticsBiologyDNA MitochondrialWhite PeopleHaplogroupOpen Reading FramesGeneticsHumansCoding regioneducationPhylogenyGenetics (clinical)LanguageGeneticseducation.field_of_studyChromosomes Human YHaplotypeGenetic VariationComplementarity Determining RegionsLatviahumanitiesGenetics PopulationHaplotypesGenetic structureFemaleGene poolAnnals of Human Genetics
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Study on Experimental Determination of the Elasticity Modulus of Casted Basalt

2020

Basalt is a material available in big quantities in nature. It has a low price and can be used in various domains. It can be relatively easily extracted from natural deposits and processed by means of melting. Melted and recrystallized basalt has demonstrated promising behavior with regards of its use in manufacturing, as reported in the literature. This paper presents the results of an experimental study on the determination of the modulus of elasticity of molten and recrystallized basalt by the method of resistive electrical tensometry and to validate the result and by simulation using finite elements method. Testing methodology, experimental test, data records, data processing and result…

BasaltData recordssymbols.namesakeMining engineering. MetallurgyComputer scienceTN1-997symbolsYoung's modulusComposite materialElastic modulusexperimental studymodulus of elasticity of basaltmaterialsThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science
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MODELLING USER UNCERTAINTY FOR DISCLOSURE RISK AND DATA UTILITY

2002

In this paper we show how a simple model that captures user uncertainty can be used to define suitable measures of disclosure risk and data utility. The model generalizes previous results of Duncan and Lambert.1 We present several examples to illustrate how the new measures can be used to implement existing optimality criteria for the choice of the best form of data release.

Bayes estimatorArtificial IntelligenceControl and Systems EngineeringComputer scienceSimple (abstract algebra)Data miningcomputer.software_genreInformation theoryData releasecomputerSoftwareInformation SystemsInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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